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Code-Switching Reveals Language Anchoring in Multilingual LLMs

By Alexis Dufresne Published August 27, 2026 at 12:12 UTC

Summary

Code-Switching Reveals Language Anchoring in Multilingual LLMs

Shared on Bluesky by 2 AI experts

arxiv cs.CL @arxiv-cs-cl.bsky.social: Jeonghyun Park, Seunghyun Yoon, Yonghyun Jun, Hwanhee Lee Code-Switching Reveals Language Anchoring in Multilingual LLMs https://arxiv.org/a… →
AI Firehose @ai-firehose.column.social: A study shows multilingual LLMs struggle with code-switching, but the CANVAS intervention improves QA performance by aligning hidden states.… →

Originally reported by arxiv.org

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Original headline: Code-Switching Reveals Language Anchoring in Multilingual LLMs